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Your new roleAs part of the Data Analytics & AI team, you'll help build and evolve a Snowflake-based data platform. You will design and maintain robust data pipelines and models that transform data from operational systems into trusted, analytics-ready assets. Your work will enable high-quality reporting, insight generation, and future AI/ML initiatives across the business.What You'll Do* Build & Maintain Pipelines: Develop ELT/ETL pipelines using dbt, Python, and orchestration tools. * Work with Snowflake: Design and optimise data models, manage performance, and adopt advanced Snowflake features. * Ensure Data Quality: Apply governance, security, and compliance standards. * Collaborate: Support analysts and business teams with clean, structured data for reporting and analytics. * Monitor & Improve: Implement monitoring, alerting, and cost controls for Snowflake and pipelines. * Contribute to Best Practices: Help define standards for naming, schema design, and development processes.What you'll need to succeed • Strong hands-on experience with Snowflake, SQL, Python, and Dbt, • Solid understanding of data modelling, data governance, and cloud platforms (AWS preferred), • Experience supporting analytics using BI tools such as Power BI, • Familiarity with data ingestion tools (e.g. Airbyte, Fivetran) Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found at hays.co.uk

Oxfordshire / Hybrid £60,000 – £80,000 DOE Permanent | Full-time We’re working with a purpose-led consultancy looking for a Senior Data Engineer to take ownership of a key data function that sits at the heart of their client delivery. This is not a standard “keep the pipelines running” role. You’ll inherit an existing data pipeline framework, assess what is working, decide what needs improving or replacing, and take the lead on building a robust, scalable approach for the future. What you’ll be doing You’ll be responsible for owning and improving data pipelines that transform structured data into graph-based formats. You’ll work closely with consultants, software engineers, and client-facing teams to make sure data is accurate, usable, and meaningful. Key responsibilities • Own, assess, improve, or rebuild existing ETL/ELT pipelines, • Build reliable data workflows using Python, • Work with orchestration tools such as Airflow or similar, • Improve data quality, validation, lineage, and troubleshooting, • Collaborate with consultants and non-technical stakeholders, • Help translate messy business/client data into structured models, • Learn and apply knowledge graph / semantic web technologies, • Work with the software team on coding standards, reviews, and best practice, • Provide technical ownership and direction in an ambiguous, evolving space What we’re looking for • Strong experience building and operating ETL/ELT pipelines, • Good Python skills, • Experience with workflow orchestration tools, • Git/GitHub experience, • Ability to own technical decisions and work independently, • Strong communication skills with non-technical stakeholders, • Comfortable working in ambiguity and shaping your own direction, • Interest in data modelling, knowledge graphs, or semantic technologies The role is hybrid from Oxfordshire, with an expectation of 4 days per week in the office during the first 6 months, reducing to 3 days per week thereafter. Applicants must be eligible to work in the UK without sponsorship and be likely to meet BPSS / SC clearance requirements. Benefits • £60,000 – £80,000 depending on experience, • Hybrid working, • 35-hour working week, • 25 days holiday plus bank holidays, • 5% employer pension contribution, • Generous sick pay and parental leave, • High-quality tech setup

Senior Data Engineer Oxford | Hybrid | Build the Future of Data & Knowledge Graphs Looking for a Senior Data Engineering role that’s genuinely different? Our client is building cutting-edge data and knowledge systems that help organisations navigate complexity, make smarter decisions, and create meaningful change. They’re now looking for a Senior Data Engineer to take ownership of a business-critical data pipeline at the heart of their delivery platform. What You’ll Be Doing • Designing and scaling end-to-end ETL/ELT pipelines, • Working with complex structured data and knowledge graph technologies, • Improving data quality, validation, and automation processes, • Collaborating closely with consultants, developers, and project teams, • Helping shape the future of the company’s data capability Tech You’ll Work With • Python, • Airflow, • Git & GitHub, • RDF / SPARQL / Semantic Web technologies, • Cloud and modern data tooling What They’re Looking For • Strong experience building scalable data pipelines, • Python and workflow orchestration experience, • Someone curious, collaborative, and technically driven Why This Role Stands Out • Own a central part of the company’s data platform, • Work on genuinely interesting, meaningful technical challenges, • Hybrid flexibility with a collaborative Oxford-based team, • Stable, established business with exciting long-term growth Apply now - this is not your standard Senior Data Engineer role.

What You’ll Be DoingLead and mentor a team of Data Engineers in an Agile delivery environmentOwn technical planning, roadmap alignment, sprint execution, and delivery trackingBuild and maintain scalable ETL/ELT pipel

Your new role As part of the Data Analytics & AI team, you'll help build and evolve a Snowflake-based data platform. You will design and maintain robust data pipelines and models that transform data from operational systems into trusted, analytics-ready assets. Your work will enable high-quality reporting, insight generation, and future AI/ML initiatives across the business. What You'll Do * Build & Maintain Pipelines: Develop ELT/ETL pipelines using dbt, Python, and orchestration tools. * Work with Snowflake: Design and optimise data models, manage performance, and adopt advanced Snowflake features. * Ensure Data Quality: Apply governance, security, and compliance standards. * Collaborate: Support analysts and business teams with clean, structured data for reporting and analytics. * Monitor & Improve: Implement monitoring, alerting, and cost controls for Snowflake and pipelines. * Contribute to Best Practices: Help define standards for naming, schema design, and development processes. What you'll need to succeed Strong hands-on experience with Snowflake, SQL, Python, and Dbt Solid understanding of data modelling, data governance, and cloud platforms (AWS preferred) Experience supporting analytics using BI tools such as Power BI Familiarity with data ingestion tools (e.g. Airbyte, Fivetran) Working knowledge of Git, CI/CD, and modern data engineering practices What you need to do now If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now. If this job isn't quite right for you, but you are looking for a new position, please contact us for a confidential discussion about your career. Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found at hays.co.uk TPBN1_UKTJ

Your new role As part of the Data Analytics & AI team, you'll help build and evolve a Snowflake-based data platform. You will design and maintain robust data pipelines and models that transform data from operational systems into trusted, analytics-ready assets. Your work will enable high-quality reporting, insight generation, and future AI/ML initiatives across the business. What You'll Do* Build & Maintain Pipelines: Develop ELT/ETL pipelines using dbt, Python, and orchestration tools. * Work with Snowflake: Design and optimise data models, manage performance, and adopt advanced Snowflake features. * Ensure Data Quality: Apply governance, security, and compliance standards. * Collaborate: Support analysts and business teams with clean, structured data for reporting and analytics. * Monitor & Improve: Implement monitoring, alerting, and cost controls for Snowflake and pipelines. * Contribute to Best Practices: Help define standards for naming, schema design, and development processes. What you'll need to succeed Strong hands-on experience with Snowflake, SQL, Python, and Dbt Solid understanding of data modelling, data governance, and cloud platforms (AWS preferred) Experience supporting analytics using BI tools such as Power BI Familiarity with data ingestion tools (e.g. Airbyte, Fivetran) Working knowledge of Git, CI/CD, and modern data engineering practices What you need to do now If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now. If this job isn't quite right for you, but you are looking for a new position, please contact us for a confidential discussion about your career. Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found at (url removed)

As a Senior Data Engineer within the Data Engineering team, you will play a key role in building, enhancing, and maintaining our enterprise data platform on Snowflake. You will develop and optimise scalable data pipelines and models that bring data from core business systems into Snowflake, enabling analytics, reporting, and data-driven insights across the organisation. You will translate the data platform strategy into high-quality technical solutions, ensuring our Snowflake environment is reliable, well-structured, and performant. You will champion engineering best practices and contribute to standards that improve the quality, consistency, and usability of data assets. Your work will ensure the business has access to trusted, timely, and well-modelled data to support decision-making, operational reporting, and the foundations for advanced analytics and future AI/ML capabilities. Key Accountabilities & Responsibilities Snowflake Data Engineering Delivery Design, build, and maintain high-quality data pipelines and models in Snowflake to support business analytics, BI, and operational reporting needs. Data Architecture Implementation Translate the defined data architecture and standards into implemented solutions—including ingestion, transformation, storage, and performance optimisation. Pipeline Development & Orchestration Develop robust ELT/ETL pipelines using dbt and workflow/orchestration tools (e.g., Argo Workflows), ensuring reliability, maintainability, and adherence to engineering best practices. Performance & Cost Optimisation Implement Snowflake warehouse configurations and query optimisation techniques to ensure efficient usage and predictable cost. Data Quality & Governance Execution Apply data quality checks, lineage tracking, and security standards across the data estate. Ensure compliance with data policies, InfoSec controls, and regulatory requirements as required. Tooling & Feature Adoption Leverage Snowflake capabilities (Tasks, Streams, Snowpark, Time Travel, Secure Data Sharing) to improve automation, reduce manual effort, and enhance data accessibility across the business. Collaboration & Support Work closely with analysts, data consumers, and business stakeholders to support data product delivery, troubleshoot data issues, and enable effective usage of Snowflake datasets. Enablement for Analytics & Data Science Implement dimensional models that provide clean, well-structured, reusable datasets for reporting, scenario modelling, and emerging ML/AI use cases. Monitoring, Reliability & Operations Implement and maintain monitoring, alerting, logging, and cost-management processes for Snowflake and data pipelines to ensure a stable and well-maintained platform. Continuous Improvement of Engineering Practices Contribute to shared engineering standards to simplify development and accelerate delivery across the team. Knowledge & Skills Proven experience in delivering cloud-based data engineering solutions, ideally with Snowflake. Strong hands-on proficiency with SQL, Python, and dbt for data transformations, modelling, and pipeline automation. Practical experience with Snowflake and RBAC management. Experience with data ingestion and replication tools such as Airbyte, Fivetran, Hevo, or similar. Working knowledge of cloud services (AWS preferred). Strong understanding of data modelling and data governance principles. Experience supporting BI/reporting tools (Power BI) and enabling them through well-designed Snowflake data models. Solid knowledge of CI/CD and version-controlled development practices in git. Desirable Enterprise System Familiarity Exposure to CRM (Salesforce), BSS/OSS (Netadmin), Call Centre, Telephony, or similar enterprise data sources. Data Migration Experience Participation in migrating data platforms (e.g., PostgreSQL or other cloud RDBMS) into a data warehouse like Snowflake with minimal disruption and strong data validation controls. Change & Adoption Support Experience supporting business teams during platform transitions (e.g., training, documentation, user onboarding, issue resolution). Best Practice Contribution Experience contributing to naming conventions, schema standards, environment management, testing frameworks, and security patterns for data platforms. Continuous Learning & Innovation Interest in staying up to date with the latest technologies, modern data stack tooling, and best practices to contribute to ongoing platform evolution. Infrastructure as Code Exposure to Terraform would be advantageous. Gigaclear is a growing Fibre Broadband (FTTP / FTTH) company, developing our fibre-to-the-premises broadband infrastructure to some of the most difficult to reach areas of the UK, empowering those communities with broadband to rival any city

A leading hedge fund in Greater London is seeking a Data Engineer to join their Industrials portfolio team.This role involves developing data pipelines and infrastructure, supporting investment decisions through robust data analysis, and communicating insights effectively within a technical team.Ide

Validus Risk Management is seeking a Python Software Engineer to join their Client Success Team in Greater London.The role involves owning multiple concurrent initiatives and designing full stack solutions that align with best practices.Candidates should have 1–3 years of software development expe

Nomia Ltd in Greater London is seeking a Data Engineer to drive innovation through data solutions.The ideal candidate should have over 3 years of experience in data engineering, expertise in Microsoft Azure tools, and proficiency in Python and PostgreSQL.Responsibilities include designing data pipel

A global leader in electronic trading is seeking a Data Platform Engineer based in Greater London.This role involves building and managing data processes on Tradeweb's platform, optimizing code and enhancing data pipelines.Candidates should have over 3 years of experience in Data Platform Engineerin

Develop and maintain ETL processes (data ingestion, transformation, reporting, etc.

The role involves designing and executing tests for ETL loads, ensuring data quality, and performing functional and regression testing across APIs.

The role involves developing ETL and ELT pipelines, integrating data from various platforms, and translating business needs into data solutions.

Candidates should have strong SQL and experience with ETL/ELT tools like Talend or Informatica, alongside knowledge of cloud platforms such as AWS.

Key qualifications include experience in test automation for ETL processes, proficiency in SQL, and hands-on knowledge of Python.

Football Radar in Greater London is seeking a Data Engineer to support its innovative data science efforts.You'll take ownership of data pipelines, ensuring that data is accurate and accessible.Responsibilities include automating data updates, building datasets, and deploying models to the cloud.Ide

This role involves designing, building, and maintaining ETL pipelines while supporting data migration from legacy systems to cloud environments.

This role involves owning and evolving ETL pipelines while focusing on building scalable data assets.

Responsibilities include building ETL/ELT pipelines, developing workflows, and collaborating with teams for effective system integration.

The successful candidate will design, build, and maintain scalable data pipelines and manage ETL processes across Azure data platforms.

Perch Group is hiring a Data Engineer to provide technical solutions and lead ETL/ELT processes using Azure Data Factory.

In this hybrid role, you'll design data architectures and manage databases while building ETL pipelines.

This role supports healthcare data migration and archiving projects, providing a great opportunity for early career professionals to build experience in data migration, ETL, SQL, and healthcare technology.

Candidates should possess a degree in a related field and experience in SQL, REST APIs, JavaScript, and ETL.

In this role, you will design, build, and maintain ETL and ELT pipelines, ensuring data quality and performance.

Identify process gaps and recommend improvements to optimize ETL operations and data quality Communicate effectively with stakeholders to report progress challenges and solutions related to ETL projects. Ensure adherence to data governance quality standards and compliance throughout the ETL lifecycl

We are looking for an ETL Engineer with a strong analytics engineering focus to work within our FlightDeck infrastructure, ensuring data is arriving reliably, well‑modelled, and analysis‑ready for planners, strategists and clients. You will be responsible for maintaining and configuring data pip

Mitie Cleaning & Hygiene Services is seeking a Data Engineer to design and develop ETL/ELT pipelines in a hybrid work environment.

Your responsibilities include establishing data integrations, conducting ETL activities, and collaborating with SMEs to validate data models.

A growing deep-tech consultancy in Greater London is seeking an experienced Software Engineer for a permanent hybrid role.The position involves delivering strategic advisory and engineering services to clients, designing data models, and implementing AI solutions.Candidates must have strong skills i

The role requires deep experience in ETL testing, Python, SQL, and cloud services like AWS and Azure.

Key responsibilities include collaborating with technology teams, developing Python ETL pipelines, and building reporting solutions using Tableau.

Key responsibilities include designing SQL data solutions, developing ETL pipelines, and ensuring data quality.

This permanent position involves designing and maintaining ETL and data pipelines on Google Cloud Platform (GCP). The ideal candidate should possess strong experience in data engineering, ETL development, and have a background in the banking or financial services domain.

The role focuses on enhancing the data platform, developing ETL/ELT pipelines, and improving data quality and reporting.

Mercor is seeking a Data Engineering Expert to develop ETL pipelines and ensure data quality.

The successful candidate will design, build, and maintain data pipelines, execute ETL processes, and create data models.

A leading media agency in Greater London is seeking an experienced ETL Engineer to enhance their FlightDeck infrastructure. Ideal candidates have at least 3 years of experience in ETL and SQL Server management.

This role involves designing and delivering Power BI dashboards, building reliable ETL pipelines using SSIS, and ensuring data quality.

Ideal candidates will have expertise in SQL, Python, and data visualization tools such as Tableau or Quicksight, along with experience building ETL pipelines.

You will collaborate in an agile team, designing high-performance data solutions, developing robust ETL services, and leveraging AI tools to enhance workflows.

Responsibilities include processing and exploiting Publicly Available and Commercially Available Information, building scalable ETL pipelines, and ensuring compliance with regulatory requirements.

Responsibilities include building and maintaining Data Lakes and Data Warehouses on Amazon Redshift, developing Power BI datasets, and optimising ELT/ETL pipelines.

The ideal candidate will have strong experience with Safe FME and FME Flow for ETL pipelines, as well as proficiency in geospatial web mapping tools like ArcGIS and QGIS.

The successful candidate will execute the ETL process while managing technical transitions and troubleshooting data issues.

Data Analyst to design and build interactive Power BI dashboards, develop data models, and deliver ETL processes.

The role involves using SQL to perform the full Extract, Transform, Validate, and Import (ETL) processes, ensuring smooth data transitions.